Triple
T20657589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lubombo Region |
E507666
|
entity |
| Predicate | borderDirectionWithinEswatini |
P27801
|
FINISHED |
| Object | east |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: east | Statement: [Lubombo Region, borderDirectionWithinEswatini, east]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderDirectionWithinEswatini Context triple: [Lubombo Region, borderDirectionWithinEswatini, east]
-
A.
borderTypeWithKenya
Indicates the type or nature of the border relationship that an entity shares with Kenya.
-
B.
borderCountrySide
Indicates that one country shares a land border with the side or region of another country.
-
C.
hasBorderWithinCountry
Indicates that one region or area shares an internal boundary with another region or area within the same country.
-
D.
borderWithin
Indicates that one region’s border lies entirely inside the boundary of another region.
-
E.
countryBorderDirection
chosen
Indicates the cardinal or relative direction in which one country lies in relation to the border it shares with another country.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0b4bf58c081908e52a4500e03ff83 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b2ee049081909904efe2dc683cd5 |
completed | April 20, 2026, 11:12 p.m. |
| PD | Predicate disambiguation | batch_69e5c0315f5081908098707c6455e56e |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 11:43 a.m.